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675 research outcomes, page 1 of 68
  • publication . Preprint . Article . 2021
    Open Access English
    Authors:
    Joonas A. Autio; Qi Zhu; Xiaolian Li; Matthew F. Glasser; Caspar M. Schwiedrzik; Damien A. Fair; Jan Zimmermann; Essa Yacoub; Ravi S. Menon; David C. Van Essen; ...
    Project: CIHR , EC | VarPL (802482), NIH | Real-time fMRI Neurofeedb... (1R01MH101555-01), EC | HBP SGA3 (945539), NIH | Mechanistic and causal ba... (1RF1MH117040-01), NIH | The Neuronal Underpinning... (1RF1MH116978-01), NIH | Mapping the Human Connect... (3U54MH091657-03S1)

    Recent methodological advances in MRI have enabled substantial growth in neuroimaging studies of non-human primates (NHPs), while open data-sharing through the PRIME-DE initiative has increased the availability of NHP MRI data and the need for robust multi-subject multi...

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  • publication . Article . Preprint . 2021
    Open Access English
    Authors:
    Tomas Petrasek; Iveta Vojtechova; Ondrej Klovrza; Klara Tuckova; Cestmir Vejmola; Jakub Rak; Anna Sulakova; Daniel Kaping; Nadine Bernhardt; Petrus J. de Vries; ...
    Publisher: BioMed Central

    Abstract Background Tuberous sclerosis complex (TSC), a multi-system genetic disorder often associated with autism spectrum disorder (ASD), is caused by mutations of TSC1 or TSC2, which lead to constitutive overactivation of mammalian target of rapamycin (mTOR). In seve...

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  • publication . Article . Preprint . 2021
    Open Access English
    Authors:
    C. Stephani; A. H. K. Choi; O. Moerer;
    Publisher: Springer International Publishing

    Abstract Purpose Measurements of cerebrospinal fluid (CSF) lactate can aid in detecting infections of the central nervous system and surrounding structures. Neurosurgical patients with temporary lumbar or ventricular CSF drainage harbor an increased risk for developing ...

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  • publication . Article . Preprint . 2021
    Open Access English
    Authors:
    H. Chereda; Annalen Bleckmann; Kerstin Menck; J. Perera-Bel; P. Stegmaier; F. Auer; Frank Kramer; Andreas Leha; Tim Beissbarth;
    Publisher: BioMed Central

    Abstract Background Contemporary deep learning approaches show cutting-edge performance in a variety of complex prediction tasks. Nonetheless, the application of deep learning in healthcare remains limited since deep learning methods are often considered as non-interpre...

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  • publication . Article . Preprint . 2021
    Open Access English
    Authors:
    Tim Friede; Christian Röver;
    Persistent Identifiers

    Shrinkage estimation in a meta-analysis framework may be used to facilitate dynamical borrowing of information. This framework might be used to analyze a new study in the light of previous data, which might differ in their design (e.g., a randomized controlled trial (RC...

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  • publication . Article . Preprint . 2021
    Open Access English
    Authors:
    Christian Röver; Ralf Bender; Sofia Dias; Christopher H. Schmid; Heinz Schmidli; Sibylle Sturtz; Sebastian Weber; Tim Friede;
    Persistent Identifiers

    The normal-normal hierarchical model (NNHM) constitutes a simple and widely used framework for meta-analysis. In the common case of only few studies contributing to the meta-analysis, standard approaches to inference tend to perform poorly, and Bayesian meta-analysis ha...

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  • publication . Article . Other literature type . Preprint . 2021
    Open Access English
    Authors:
    Angana Chakraborty; Burkhard Morgenstern; Sanghamitra Bandyopadhyay;
    Publisher: BMC

    Abstract Background The advancement of SMRT technology has unfolded new opportunities of genome analysis with its longer read length and low GC bias. Alignment of the reads to their appropriate positions in the respective reference genome is the first but costliest step...

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  • publication . Article . Preprint . 2021
    Open Access
    Authors:
    Anne Kästner; Virginie S. C. Ng Kuet Leong; Frank Petzke; Stefan Budde; Michael Przemeck; Martin Müller; Joachim Erlenwein;
    Publisher: Springer Science and Business Media LLC

    Abstract Background Emerging evidence highlights the importance of preoperative expectations in predicting patient-reported outcomes of orthopedic surgeries. To date, it is still a matter of controversy whether patient satisfaction can be maximized by promoting either o...

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  • publication . Article . Preprint . 2021
    Open Access
    Authors:
    Thomas Wittlinger; Martin Maus; Ingo Kutschka; Hassina Baraki; Martin G Friedrich;
    Publisher: Springer Science and Business Media LLC

    Abstract Background Acute kidney injury (AKI) is a frequent and serious complication of cardiac surgery, associated with a high incidence of morbidity and mortality. Although the RIFLE criteria serve as a prominent tool to identify patients at high risk of AKI, an optim...

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  • publication . Article . Other literature type . Preprint . 2021
    Open Access English
    Authors:
    Tsz Wai Ko; Jonas A. Finkler; Stefan Goedecker; Jörg Behler;
    Publisher: Nature Publishing Group UK
    Project: SNSF | Development of a Neural N... (200021E_182877)

    Machine learning potentials have become an important tool for atomistic simulations in many fields, from chemistry via molecular biology to materials science. Most of the established methods, however, rely on local properties and are thus unable to take global changes i...

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675 research outcomes, page 1 of 68